Instructions to use surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5126c654b46f9b746995b47571d5a20acf89f64b2cbff4590ac9a3480cba8547
- Size of remote file:
- 1.06 kB
- SHA256:
- 5edab037da0535bedc44af279a44d5ae9db673c0d2db62731b30d123ee7bca6e
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